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Opus 4.7 knows the real Kelsey

theargumentmag.com

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Re: Opus 4.7 knows the real Kelsey

#132
If this works with writing, it should also work with code. `git blame` should be enough training data to de-anonymize open source programmers. Maybe that'd be addition information to point out who Satoshi is.

Re: Opus 4.7 knows the real Kelsey

#133
post #61

Wow! It got me too. I'm way less famous than Kelsey Piper, but I showed it a snippet of a book I'm working on (not yet published), and it immediately guessed me: > Based on the writing style and content, this text is likely by Michael Lynch, who writes on his blog refactoringenglish.com (and previously mtlynch.io). > Several stylistic clues point to him: > - The "clean room" analogy applied to writing is consistent w…

I reproduced this and then tried myself and got: --- This one's trickier — it doesn't have the same crisp metaphor-driven structure as the Lynch piece. The voice here is more conversational, a bit more meandering, and self-aware about its own contradictions ("how do we reconcile..."). A few guesses: Henrik Karlsson — he writes thoughtfully about writing and AI, but his style is usually more lyrical and essayistic tha…

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Re: Opus 4.7 knows the real Kelsey

#135

The joke's on you all for willingly posting this content online for it to later be harvested by AI. Nobody is forcing you to use these systems. The hackers have always said this moment, or something like it, would come, from beneath their canopies of tin foil. I've posted almost nothing online - not under pseudonyms nor real names - for over a decade. I sat on this HN username for almost 12 years before making a sing…

Thinking that you can hide from it is absurd. Your country has been spying on you for decades. The Internet and phones are tapped. That game is so so so over and has been for a long time. I'd rather live free and deal with the consequences than hide in my basement with a tinfoil hat on. In fact, I was fired this year for my political views. Got doxxed at work. Now I'm somewhere better. Sometimes it's for the best.

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Re: Opus 4.7 knows the real Kelsey

#137

Someone ought to try feeding the BTC whitepaper in and share what comes out

It's a hard stylometric challenge, just because of its format. The forum posts are probably better for comparison, but what I don't see people doing that I wish they would is comparing what the different Satoshi suspects have written since the forum posts and whitepaper.

Everybody's going to get more similar in terms of topic. Bitcoin actually exists now. There's more to say about it than there was at launch. But does anyone still sound like Satoshi? Or sound more like Satoshi than they did before?

The slight wrench in the works is that it's hard to do this with my personal favorite Satoshi candidate. He stopped writing altogether in 2014, and lost capacity from shortly after the whitepaper came out until he was writing with his eyes by the time he had his head frozen.

He's also the only candidate who seems more likely to me over time, though. The longer things go, the less likely a living person stays tight-lipped.

Re: Opus 4.7 knows the real Kelsey

#138
post #69

This is blowing my mind. I asked Kimi K2.6 to write a blog post in the style of James Mickens.[0] Then I fed the output to Opus 4.7 and asked it who the likely author was, and it correctly identified it as an imitation of James Mickens[1]: > Based on the stylistic fingerprints in this text, the most likely author is a pastiche/imitation of the style of several writers fused together, but if forced to identify a singl…

> it correctly identified it as an imitation of James Mickens

How likely is it that it might take into account that it knows for sure it's not anything from Mickens from the latest training data? I'd be curious if it correctly identified a new piece from him that comes out as from him before it gets trained on it.

Re: Opus 4.7 knows the real Kelsey

#139
post #96
post #73

Earlier quoted context omitted.

Luckily for Nakamoto, there have been so many attempts at deanonymizing that I bet prediction is too contaminated with noise.

As another user suggested, train on the corpus that ends with the white paper publication.

But then compare it to the corpus of any of the suspects since the whitepaper publication.

It's one thing to sound like Satoshi before the whitepaper, but does anyone still sound like Satoshi?

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